DISCRETE DEFORMATION WAVE DYNAMICS IN SHEAR ZONES: PHYSICAL MODELLING RESULTS by S. A. Bornyakov, I. A. Panteleev, A. A. Tarasova

“…Figure 1 (B) shows an optical image of a fragment of the shear zone. The photos were processed by the digital image correlation method described in [Sutton et al., 2009]. …”
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Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting. by Chengjin Yang, Yanzhong Zhai, Zehua Liu

“…Secondly, BiTCEN designed in this paper effectively captures the short-term dependencies in the corn price data through the unique bidirectional structure and the special hybrid convolutional structure, and then accurately extracts the local features of the data, while BiLSTM mines the long-term trends and complex dependencies in the data by exploiting its bidirectional processing and long-term memory capabilities. Finally, FECAM enhances the focus on key temporal features in the frequency domain by grouping the input features along the channel dimensions and applying discrete cosine transform to generate attention vectors, improving the prediction accuracy and robustness of the model. …”
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How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios by Giovanni Alessandro Cappelli, Fabrizio Ginaldi, Davide Fanchini, Enrico Ceotto, Marcello Donatelli

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A Molecular Dynamics Study of the Solvation Properties of Sugars in Supercritical Carbon Dioxide by Alexandrine Lambert, Francesca Ingrosso

“…Given the biocompatibility of this medium, extraction technologies based on scCO₂ are particularly attractive, and a molecular-level understanding of intermolecular interactions is crucial for optimizing processing conditions. Functionalized sugars and cyclic oligosaccharides, such as cyclodextrins, can be rendered soluble in scCO₂, opening new avenues for vectorization strategies and supramolecular chemistry in this medium. …”
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Three-Dimensional Minute-Scale Displacement of Fels Slide Measured With Multistation <italic>Ku</italic>-Band Ground-Based Radar by Farnoush Hosseini, Bernhard Rabus, Franz J. Meyer, Davide Donati, Doug Stead, John J. Clague

“…We present a methodological framework for processing ground-based radar data that corrects complex atmospheric effects to uncover the relatively small subdaily deformation rates of the Fels slide and similar DGSDs. …”
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Exploring the Classic and Novel Pathogenetic Insights of Plastic Exposure in the Genesis and Progression of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) by Mario Romeo, Marcello Dallio, Fiammetta Di Nardo, Giuseppina Martinelli, Claudio Basile, Alessia Silvestrin, Giusy Senese, Annachiara Coppola, Carmine Napolitano, Angela Amoresano, Carlo Altucci, Alessandro Federico

“…Plastics can also serve as vectors for different potentially toxic additives, with specific MNPs constituting a persistent source of release of bisphenol A (BPA), a well-recognized exogenous etiological factor contributing to MASLD genesis and worsening. …”
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Prediciendo el crimen en ciudades intermedias: un modelo de “machine learning” en Bucaramanga, Colombia by Juan David Gelvez Ferreira, María-Paula Nieto-Rodríguez, Carlos-Andrés Rocha-Ruiz

“…The model used signal processing for graphs and an adaptation of the TF-IDF text vectorization model to the space-time case, for each of the cities’ neighborhoods. …”
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Novel regulation mechanism of histone methyltransferase SMYD5 in rheumatoid arthritis by Chenxi Xiao, Zhenghua Su, Jialin Zhao, Subei Tan, Mengting He, Yuhui Li, Jiayao Liu, Jie Xu, Yajie Hu, Zhongzheng Li, Chunxiang Fan, Xinhua Liu

“…SMYD5, a member of the histone lysine methyltransferase subfamily SMYDs, is involved in many pathological processes. This study aimed to investigate the role of SMYD5 in regulating synovial fibroblast homeostasis and the pathogenesis of rheumatoid arthritis (RA). …”
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Genomic epidemiology and resistome dynamics of Enterobacter species in a Portuguese Open Air Laboratory: the emergence of the FRI-8 carbapenemase by Pedro Teixeira, Miguel Ramos, Rani Rivière, Mónica Azevedo, Mónica Azevedo, Mónica Azevedo, Mário Ferreira, Maria Manuela Cano, Patrícia Vieira, Lígia Reis, Rui Matias, João Rodrigues, Carina Menezes, Tânia Rosado, António Sequeira, Olga Moreira, Werner Ruppitsch, Werner Ruppitsch, Adriana Cabal-Rosel, Solveig Sølverød Mo, Elsa Dias, Elsa Dias, Elsa Dias, Markus Woegerbauer, Manuela Caniça, Manuela Caniça, Manuela Caniça, Manuela Caniça, Vera Manageiro, Vera Manageiro, Vera Manageiro

“…Our findings underscore the importance of Enterobacter as vectors for AMR and the critical role of environmental compartments in its dissemination, reinforcing the importance of adopting a One Health approach to fully understand AMR dynamics.…”
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Generation and characterization of induced pluripotent stem cells of small apes by Yusuke Hamazaki, Hiroto Akuta, Hikaru Suzuki, Hideyuki Tanabe, Kenji Ichiyanagi, Takuya Imamura, Masanori Imamura, Masanori Imamura, Masanori Imamura

“…Using Sendai virus-based stealth RNA vectors, we generated 31 reprogrammed cell lines, five of which were developed into transgene-free induced pluripotent stem cells. …”
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A new yeast strain for valorisation of vinasse, a rum distillery waste product by Brigita Simonaviciene, Ayokunle Araoyinbo, Juwayria Ali, Jamie McGowan, David A. Fitzpatrick, Gary Jones, Celia Ferreira, Andrew R. Pitt, Corinne M. Spickett, Vincent Postis, Carine de Marcos Lousa

“…Abstract Background Waste valorisation refers to processes of reusing or recycling waste materials to create valuable products. …”
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Content and boundaries of the primary real estate market as an object of statistical research by Dmitry V. Dianov, Pavel A. Smelov

“…However, issues of managing business processes on the primary market of real estate, including a balance of opportunities for sellers and customer needs, pricing, adequate information support to all management levels, still are a problem and remain open.Purpose. …”
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Incorporating individually defined brain health priorities in clinical trial outcomes: the electronic Person‐Specific Outcome Measure approach in the United States by Stina Saunders, Ali Jannati, Shane Sheehan, Claudio Toro‐Serey, Sean Tobyne, Killian McManus, David Bates, John Showalter, Álvaro Pascual‐Leone

“…We used natural language processing (k‐means clustering of GloVe vectors) and chi‐squared tests to examine differences between the US and UK populations' answers. …”
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Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept by Dianhao Wu, Jingang Jiang, Jinke Wang, Shan Zhou, Kun Qian

“…The CBCT and scanned model were processed to generate equivalent point clouds. For the PHMSR method, the similarity between the feature directions of the pulp horn and the surface normal vectors of the crown were used to determine the mapping points in the CBCT point cloud that have a great influence on the pulp pose. …”
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Muscle‐specific gene editing improves molecular and phenotypic defects in a mouse model of myotonic dystrophy type 1 by Mariapaola Izzo, Jonathan Battistini, Elisabetta Golini, Christine Voellenkle, Claudia Provenzano, Tiziana Orsini, Georgios Strimpakos, Ferdinando Scavizzi, Marcello Raspa, Denisa Baci, Svetlana Frolova, Spyros Tastsoglou, Germana Zaccagnini, Jose Manuel Garcia‐Manteiga, Genevieve Gourdon, Silvia Mandillo, Beatrice Cardinali, Fabio Martelli, Germana Falcone

“…Results and Conclusion Systemic delivery of CRISPR/Cas9 components in DM1 mice, through myotropic adeno‐associated viral vectors, led to significant improvement of molecular alterations in the heart and skeletal muscle. …”
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KEAP1 mutations as key crucial prognostic biomarkers for resistance to KRAS-G12C inhibitors by Linyan Tian, Chengming Liu, Sufei Zheng, Huiyang Shi, Fang Wei, Wenxin Jiang, Yucheng Dong, Haiyan Xu, Enzhi Yin, Nan Sun, Jie He, Yan Wang

“…Using CRISPR/Cas9 technology, this study generated cells with KEAP1 and STK11 knockouts, and utilized lentiviral vectors to overexpress PD-L1. Cellular sensitivity to KRAS-G12C inhibitors—AMG510, MRTX849, and JAB-21822—was evaluated through CCK-8 assays. …”
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Response gene to complement 32 promotes tumorigenesis by mediating DNA damage repair and inhibits CD8+ T cells infiltration in diffuse large B-cell lymphoma by Xiyuan Zhang, Xiyuan Zhang, Tiange Lu, Chunlei Shi, Mengfei Ding, Ling Wang, Xinting Hu, Xin Wang, Xin Wang

“…To evaluate the role of RGC32 in DLBCL, lentivirus vectors either encoding shRGC32 or shControl were transfected into DLBCL cell lines. …”
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Bayesian Tapered Narrowband Least Squares for Fractional Cointegration Testing in Panel Data by Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Ali Rashash R. Alzahrani, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani

“…We propose the Bayesian Tapered Narrowband Least Squares (BTNBLS) estimator, which addresses three critical challenges: (1) spectral leakage in long-memory processes, mitigated via tapered periodograms; (2) precision loss in fractional parameter estimation, resolved through narrowband least squares; and (3) unobserved heterogeneity in cointegrating vectors (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>θ</mi><mi>i</mi></msub></semantics></math></inline-formula>) and memory parameters (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ν</mi><mo>,</mo><mi>δ</mi></mrow></semantics></math></inline-formula>), modeled via hierarchical Bayesian priors. …”
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STRESSANDSTRAIN RECONSTRUCTION FOR THE EASTERN SEGMENT OF THE BALTIC SHIELD by Lidia A. Sim, Dmitry V. Zhirov, Anton V. Marinin

“…Neotectonic stresses are studied by the kinematic method [Gushchenko, 1979] on the basis of measurements of tectonic displacment vectors from slickensides (Figure 2). Local stress data processed by the method for determination of general stress fields provide for reconstruction of main normal stresses which are arbitrarily considered as regional stresses [Sim, 1980; 2000]. …”
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EasyMetagenome: A user‐friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research by Defeng Bai, Tong Chen, Jiani Xun, Chuang Ma, Hao Luo, Haifei Yang, Chen Cao, Xiaofeng Cao, Jianzhou Cui, Yuan‐Ping Deng, Zhaochao Deng, Wenxin Dong, Wenxue Dong, Juan Du, Qunkai Fang, Wei Fang, Yue Fang, Fangtian Fu, Min Fu, Yi‐Tian Fu, He Gao, Jingping Ge, Qinglong Gong, Lunda Gu, Peng Guo, Yuhao Guo, Tang Hai, Hao Liu, Jieqiang He, Zi‐Yang He, Huiyu Hou, Can Huang, Shuai Ji, ChangHai Jiang, Gui‐Lai Jiang, Lingjuan Jiang, Ling N. Jin, Yuhe Kan, Da Kang, Jin Kou, Ka‐Lung Lam, Changchao Li, Chong Li, Fuyi Li, Liwei Li, Miao Li, Xin Li, Ye Li, Zheng‐Tao Li, Jing Liang, Yongxin Lin, Changzhen Liu, Danni Liu, Fengqin Liu, Jia Liu, Tianrui Liu, Tingting Liu, Xinyuan Liu, Yaqun Liu, Bangyan Liu, Minghao Liu, Wenbo Lou, Yaning Luan, Yuanyuan Luo, Hujie Lv, Tengfei Ma, Zongjiong Mai, Jiayuan Mo, Dongze Niu, Zhuo Pan, Heyuan Qi, Zhanyao Shi, Chunjiao Song, Fuxiang Sun, Yan Sun, Sihui Tian, Xiulin Wan, Guoliang Wang, Hongyang Wang, Hongyu Wang, Huanhuan Wang, Jing Wang, Jun Wang, Kang Wang, Leli Wang, Shao‐kun Wang, Xinlong Wang, Yao Wang, Zufei Xiao, Huichun Xing, Yifan Xu, Shu‐yan Yan, Li Yang, Song Yang, Yuanming Yang, Xiaofang Yao, Salsabeel Yousuf, Hao Yu, Yu Lei, Zhengrong Yuan, Meiyin Zeng, Chunfang Zhang, Chunge Zhang, Huimin Zhang, Jing Zhang, Na Zhang, Tianyuan Zhang, Yi‐Bo Zhang, Yupeng Zhang, Zheng Zhang, Mingda Zhou, Yuanping Zhou, Chengshuai Zhu, Lin Zhu, Yue Zhu, Zhihao Zhu, Hongqin Zou, Anna Zuo, Wenxuan Dong, Tao Wen, Shifu Chen, Guoliang Li, Yunyun Gao, Yong‐Xin Liu

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